New IP

2021 ◽  
pp. 1-42
Author(s):  
Richard Li ◽  
Uma S. Chunduri ◽  
Alexander Clemm ◽  
Lijun Dong
Keyword(s):  
Communication Protocol ◽  
Data Communication ◽  
Low Latency ◽  
Packet Processing ◽  
Service Levels ◽  
Machine Type ◽  
Industrial Internet ◽  
Machine Type Communications ◽  
Mobile Backhaul ◽  
Industrial Machine

Industrial machine-type communications (e.g., industrial internet), emerging applications such as holographic type communications, IP mobile backhaul transport for 5G/B5G (beyond 5G) for ultra-reliable low latency communications and massive machine-type communications, emerging industry verticals such as driverless vehicles, and future networking use cases as called out by ITU-T's focus group on network 2030 all require new networking capabilities and services. This chapter introduces “New IP,” a new data communication protocol that extends packet networking with new capabilities to support future applications that go beyond the capabilities that are provided by internetworking protocol (IP) today. New IP is designed to allow the user to specify requirements, such as expectations for key performance indicators' (KPIs) service levels, and other guidance for packet processing and forwarding purposes. New IP is designed to interoperate with existing networks in a straightforward manner and thus to facilitate its incremental deployment that leverages existing investment.

A REVIEW OF B4G/5G ENHANCEMENTS FOR MOBILITY, LATENCY AND NB-IoT

2019 ◽  
Author(s):  
ALOKNATH DE
Keyword(s):  
Internet Of Things ◽  
Low Latency ◽  
Industrial Internet Of Things ◽  
Mobile Broadband ◽  
Machine Type ◽  
Industrial Internet ◽  
Machine Type Communications ◽  
The World ◽  
Multiple Devices

The vision of 5G is to connect multiple devices and provide meaningful services under a common rooftop, enabling the world populace to communicate to each other. It is estimated that industrial Internet of Things (IoT) alone will comprise of more than 25 billion devices by 2025 [1]-[2]. All these devices will broadly be cateogrized into three main streams of 5G principles: (1) enhanced Mobile Broadband (eMBB), (2) Ultra Reliable Low Latency Communications (URLLC) and (3) massive Machine-Type Communications (mMTC). They come with their own unique requirements that have to be adhered by the network.

scholarly journals Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks

2020 ◽  
Author(s):  
Thulitha Senevirathna ◽  
Bathiya Thennakoon ◽  
Tharindu Sankalpa ◽  
Chatura Seneviratne ◽  
Samad Ali ◽  
...  
Keyword(s):  
Traffic Prediction ◽  
Machine Type ◽  
Machine Type Communications ◽  
Event Driven

scholarly journals Software Architecture of a Fog Computing Node for Industrial Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3715
Author(s):  
Ioan Ungurean ◽  
Nicoleta Cristina Gaitan
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Development Process ◽  
Fog Computing ◽  
Low Latency ◽  
Practical Implementation ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Starting Point ◽  
Hard Real Time

In the design and development process of fog computing solutions for the Industrial Internet of Things (IIoT), we need to take into consideration the characteristics of the industrial environment that must be met. These include low latency, predictability, response time, and operating with hard real-time compiling. A starting point may be the reference fog architecture released by the OpenFog Consortium (now part of the Industrial Internet Consortium), but it has a high abstraction level and does not define how to integrate the fieldbuses and devices into the fog system. Therefore, the biggest challenges in the design and implementation of fog solutions for IIoT is the diversity of fieldbuses and devices used in the industrial field and ensuring compliance with all constraints in terms of real-time compiling, low latency, and predictability. Thus, this paper proposes a solution for a fog node that addresses these issues and integrates industrial fieldbuses. For practical implementation, there are specialized systems on chips (SoCs) that provides support for real-time communication with the fieldbuses through specialized coprocessors and peripherals. In this paper, we describe the implementation of the fog node on a system based on Xilinx Zynq UltraScale+ MPSoC ZU3EG A484 SoC.

scholarly journals Autonomous Power Decision for the Grant Free Access MUSA Scheme in the mMTC Scenario

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 116
Author(s):  
Wissal Ben Ameur ◽  
Philippe Mary ◽  
Jean-François Hélard ◽  
Marion Dumay ◽  
Jean Schwoerer
Keyword(s):  
Interference Cancellation ◽  
Error Propagation ◽  
Multiple Access ◽  
Transmission Rate ◽  
Free Access ◽  
Decoding Complexity ◽  
Machine Type ◽  
Machine Type Communications ◽  
Multiple Access Schemes ◽  
Lower Complexity

Non-orthogonal multiple access schemes with grant free access have been recently highlighted as a prominent solution to meet the stringent requirements of massive machine-type communications (mMTCs). In particular, the multi-user shared access (MUSA) scheme has shown great potential to grant free access to the available resources. For the sake of simplicity, MUSA is generally conducted with the successive interference cancellation (SIC) receiver, which offers a low decoding complexity. However, this family of receivers requires sufficiently diversified received user powers in order to ensure the best performance and avoid the error propagation phenomenon. The power allocation has been considered as a complicated issue especially for a decentralized decision with a minimum signaling overhead. In this paper, we propose a novel algorithm for an autonomous power decision with a minimal overhead based on a tight approximation of the bit error probability (BEP) while considering the error propagation phenomenon. We investigate the efficiency of multi-armed bandit (MAB) approaches for this problem in two different reward scenarios: (i) in Scenario 1, each user reward only informs about whether its own packet was successfully transmitted or not; (ii) in Scenario 2, each user reward may carry information about the other interfering user packets. The performances of the proposed algorithm and the MAB techniques are compared in terms of the successful transmission rate. The simulation results prove that the MAB algorithms show a better performance in the second scenario compared to the first one. However, in both scenarios, the proposed algorithm outperforms the MAB techniques with a lower complexity at user equipment.

Sign in / Sign up

Export Citation Format

Share Document